Naim Holdings (5073) Fair Value & Analysis
Industrials · MY · Market cap 358M MYR
Fair value as of: Jun 24, 2026
Analysis
Naim Holdings (5073) currently trades at 0.7550 MYR, while our model-based Fair Value estimate is 1.20 MYR — implying the stock looks roughly 58.9% undervalued today. We read business quality at 94/100 (high quality), in the Industrials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.
About the company
Naim Holdings Berhad, an investment holding company, engages in the property development and construction businesses in Malaysia. It operates through three segments: Property Development, Construction, and Others. The Property Development segment develops and constructs residential and commercial properties, as well as sells vacant land. The Construction segment constructs buildings, roads, bridges, and other infrastructure and engineering works, such as oil and gas related construction projects. The Others segment is involved in the trading of buildings and construction materials; provision of sand extraction and land filling services; property investment and management activities; and hotel, education, and quarry operations. It also enagegs in the construction of bridges, and dams; flood mitigation-related projects; government camps and complexes; mass rapid transits; museums/galleries; residential, commercial, and industrial properties; recreational facilities; resettlement schem…
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.